Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	124101
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.9 MiB
Average record size in memory	168.0 B

Variable types

Categorical	13
Numeric	5
DateTime	2

Alerts

`animal_id` has a high cardinality: 110926 distinct values	High cardinality
`name` has a high cardinality: 19748 distinct values	High cardinality
`breed` has a high cardinality: 2629 distinct values	High cardinality
`color` has a high cardinality: 595 distinct values	High cardinality
`found_location` has a high cardinality: 53703 distinct values	High cardinality
`age_month_in` is highly correlated with `age_year_in`	High correlation
`age_month_out` is highly correlated with `age_year_out`	High correlation
`age_year_in` is highly correlated with `age_month_in`	High correlation
`age_year_out` is highly correlated with `age_month_out`	High correlation
`age_month_in` is highly correlated with `age_year_in`	High correlation
`age_month_out` is highly correlated with `age_year_out`	High correlation
`age_year_in` is highly correlated with `age_month_in`	High correlation
`age_year_out` is highly correlated with `age_month_out`	High correlation
`age_month_in` is highly correlated with `age_year_in`	High correlation
`age_month_out` is highly correlated with `age_year_out`	High correlation
`age_year_in` is highly correlated with `age_month_in`	High correlation
`age_year_out` is highly correlated with `age_month_out`	High correlation
`intake_type` is highly correlated with `neutered_intake`	High correlation
`sex` is highly correlated with `neutered_intake`	High correlation
`outcome_subtype` is highly correlated with `outcome_type` and 1 other fields	High correlation
`outcome_type` is highly correlated with `outcome_subtype` and 1 other fields	High correlation
`neutered_outcome` is highly correlated with `outcome_subtype` and 1 other fields	High correlation
`neutered_intake` is highly correlated with `intake_type` and 1 other fields	High correlation
`animal_type` is highly correlated with `sex` and 2 other fields	High correlation
`sex` is highly correlated with `animal_type` and 2 other fields	High correlation
`intake_type` is highly correlated with `animal_type` and 2 other fields	High correlation
`neutered_intake` is highly correlated with `animal_type` and 2 other fields	High correlation
`neutered_outcome` is highly correlated with `outcome_type` and 1 other fields	High correlation
`age_month_in` is highly correlated with `age_year_in`	High correlation
`age_month_out` is highly correlated with `age_year_out`	High correlation
`age_year_in` is highly correlated with `age_month_in`	High correlation
`age_year_out` is highly correlated with `age_month_out`	High correlation
`outcome_type` is highly correlated with `neutered_outcome` and 1 other fields	High correlation
`outcome_subtype` is highly correlated with `neutered_outcome` and 1 other fields	High correlation
`animal_id` is uniformly distributed	Uniform

Reproduction

Analysis started	2022-04-26 16:41:37.955297
Analysis finished	2022-04-26 16:50:07.302031
Duration	8 minutes and 29.35 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

animal_id
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	110926
Distinct (%)	89.4%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

A721033	33
A718223	14
A718877	12
A706536	11
A761266	9
Other values (110921)	124022

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	100838 ?
Unique (%)	81.3%

Sample

1st row	A006100
2nd row	A006100
3rd row	A006100
4th row	A047759
5th row	A134067

Common Values

Value	Count	Frequency (%)
A721033	33	< 0.1%
A718223	14	< 0.1%
A718877	12	< 0.1%
A706536	11	< 0.1%
A761266	9	< 0.1%
A717053	9	< 0.1%
A716018	9	< 0.1%
A737814	9	< 0.1%
A616444	9	< 0.1%
A733594	8	< 0.1%
Other values (110916)	123978	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a721033	33	< 0.1%
a718223	14	< 0.1%
a718877	12	< 0.1%
a706536	11	< 0.1%
a761266	9	< 0.1%
a717053	9	< 0.1%
a716018	9	< 0.1%
a737814	9	< 0.1%
a616444	9	< 0.1%
a670612	8	< 0.1%
Other values (110916)	123978	99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

name
Categorical

HIGH CARDINALITY

Distinct	19748
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Unknown	39065
Max	564
Bella	523
Luna	494
Rocky	383
Other values (19743)	83072

Length

Max length	24
Median length	7
Mean length	6.270650519
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10938 ?
Unique (%)	8.8%

Sample

1st row	Scamp
2nd row	Scamp
3rd row	Scamp
4th row	Oreo
5th row	Bandit

Common Values

Value	Count	Frequency (%)
Unknown	39065	31.5%
Max	564	0.5%
Bella	523	0.4%
Luna	494	0.4%
Rocky	383	0.3%
Daisy	365	0.3%
Princess	331	0.3%
Charlie	326	0.3%
Coco	324	0.3%
Buddy	320	0.3%
Other values (19738)	81406	65.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	39065	30.5%
max	626	0.5%
bella	574	0.4%
luna	552	0.4%
daisy	454	0.4%
charlie	446	0.3%
rocky	416	0.3%
blue	394	0.3%
lucy	383	0.3%
coco	366	0.3%
Other values (14225)	84966	66.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

animal_type
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Dog	70438
Cat	46448
Other	6607
Bird	586
Livestock	22

Length

Max length	9
Median length	3
Mean length	3.112263398
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dog
2nd row	Dog
3rd row	Dog
4th row	Dog
5th row	Dog

Common Values

Value	Count	Frequency (%)
Dog	70438	56.8%
Cat	46448	37.4%
Other	6607	5.3%
Bird	586	0.5%
Livestock	22	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
dog	70438	56.8%
cat	46448	37.4%
other	6607	5.3%
bird	586	0.5%
livestock	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

breed
Categorical

HIGH CARDINALITY

Distinct	2629
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Domestic Shorthair Mix	30978
Pit Bull Mix	8406
Domestic Shorthair	7006
Labrador Retriever Mix	6861
Chihuahua Shorthair Mix	6237
Other values (2624)	64613

Length

Max length	54
Median length	22
Mean length	19.22688778
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	994 ?
Unique (%)	0.8%

Sample

1st row	Spinone Italiano Mix
2nd row	Spinone Italiano Mix
3rd row	Spinone Italiano Mix
4th row	Dachshund
5th row	Shetland Sheepdog

Common Values

Value	Count	Frequency (%)
Domestic Shorthair Mix	30978	25.0%
Pit Bull Mix	8406	6.8%
Domestic Shorthair	7006	5.6%
Labrador Retriever Mix	6861	5.5%
Chihuahua Shorthair Mix	6237	5.0%
Domestic Medium Hair Mix	3115	2.5%
German Shepherd Mix	3003	2.4%
Bat Mix	1755	1.4%
Domestic Longhair Mix	1540	1.2%
Australian Cattle Dog Mix	1511	1.2%
Other values (2619)	53689	43.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mix	90753	26.6%
shorthair	46552	13.7%
domestic	43722	12.8%
bull	11248	3.3%
pit	10871	3.2%
retriever	10090	3.0%
labrador	9923	2.9%
chihuahua	8875	2.6%
shepherd	6165	1.8%
terrier	5874	1.7%
Other values (1855)	96649	28.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

color
Categorical

HIGH CARDINALITY

Distinct	595
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Black/White	13033
Black	10349
Brown Tabby	7035
Brown	5422
White	4381
Other values (590)	83881

Length

Max length	27
Median length	10
Mean length	9.581204019
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	152 ?
Unique (%)	0.1%

Sample

1st row	Yellow/White
2nd row	Yellow/White
3rd row	Yellow/White
4th row	Tricolor
5th row	Brown/White

Common Values

Value	Count	Frequency (%)
Black/White	13033	10.5%
Black	10349	8.3%
Brown Tabby	7035	5.7%
Brown	5422	4.4%
White	4381	3.5%
Brown/White	4104	3.3%
Tan/White	3786	3.1%
Brown Tabby/White	3646	2.9%
Orange Tabby	3427	2.8%
White/Black	3419	2.8%
Other values (585)	65499	52.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brown	19793	12.8%
tabby	14603	9.4%
black/white	13033	8.4%
black	11306	7.3%
tabby/white	6836	4.4%
blue	5819	3.8%
orange	5275	3.4%
white	4381	2.8%
brown/white	4104	2.7%
tan/white	3786	2.4%
Other values (371)	65598	42.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sex
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Male	59450
Female	54420
Unknown	10231

Length

Max length	7
Median length	6
Mean length	5.124350328
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	59450	47.9%
Female	54420	43.9%
Unknown	10231	8.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	59450	47.9%
female	54420	43.9%
unknown	10231	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

intake_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Stray	86448
Owner Surrender	24600
Public Assist	7618
Wildlife	4895
Abandoned	283

Length

Max length	18
Median length	5
Mean length	7.627714523
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public Assist
2nd row	Public Assist
3rd row	Stray
4th row	Owner Surrender
5th row	Public Assist

Common Values

Value	Count	Frequency (%)
Stray	86448	69.7%
Owner Surrender	24600	19.8%
Public Assist	7618	6.1%
Wildlife	4895	3.9%
Abandoned	283	0.2%
Euthanasia Request	257	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
stray	86448	55.2%
owner	24600	15.7%
surrender	24600	15.7%
public	7618	4.9%
assist	7618	4.9%
wildlife	4895	3.1%
abandoned	283	0.2%
euthanasia	257	0.2%
request	257	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

intake_condition
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Normal	107936
Injured	6638
Sick	5076
Nursing	3524
Aged	430
Other values (5)	497

Length

Max length	8
Median length	6
Mean length	5.992506104
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Normal
4th row	Normal
5th row	Injured

Common Values

Value	Count	Frequency (%)
Normal	107936	87.0%
Injured	6638	5.3%
Sick	5076	4.1%
Nursing	3524	2.8%
Aged	430	0.3%
Other	229	0.2%
Feral	108	0.1%
Pregnant	77	0.1%
Medical	63	0.1%
Behavior	20	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	107936	87.0%
injured	6638	5.3%
sick	5076	4.1%
nursing	3524	2.8%
aged	430	0.3%
other	229	0.2%
feral	108	0.1%
pregnant	77	0.1%
medical	63	0.1%
behavior	20	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

neutered_intake
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

no	78425
yes	35445
Unknown	10231

Length

Max length	7
Median length	2
Mean length	2.697818712
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	yes
3rd row	yes
4th row	yes
5th row	yes

Common Values

Value	Count	Frequency (%)
no	78425	63.2%
yes	35445	28.6%
Unknown	10231	8.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	78425	63.2%
yes	35445	28.6%
unknown	10231	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

neutered_outcome
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

yes	82914
no	31016
Unknown	10171

Length

Max length	7
Median length	3
Mean length	3.077904288
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	yes
3rd row	yes
4th row	yes
5th row	yes

Common Values

Value	Count	Frequency (%)
yes	82914	66.8%
no	31016	25.0%
Unknown	10171	8.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
yes	82914	66.8%
no	31016	25.0%
unknown	10171	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age_month_in
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.7374271

Minimum	0
Maximum	300
Zeros	754
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0.46
Q1	2
median	12
Q3	24
95-th percentile	108
Maximum	300
Range	300
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	34.49490764
Coefficient of variation (CV)	1.394442013
Kurtosis	5.640683047
Mean	24.7374271
Median Absolute Deviation (MAD)	11.08
Skewness	2.28638501
Sum	3069939.441
Variance	1189.898653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
12	21793	17.6%
24	19029	15.3%
1	11910	9.6%
36	7448	6.0%
2	6732	5.4%
48	4452	3.6%
0.92	4414	3.6%
60	4061	3.3%
0.69	3615	2.9%
3	3276	2.6%
Other values (38)	37371	30.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	754	0.6%
0.0329	635	0.5%
0.0657	478	0.4%
0.0986	578	0.5%
0.1314	324	0.3%
0.1643	180	0.1%
0.1972	305	0.2%
0.23	1910	1.5%
0.46	2498	2.0%
0.69	3615	2.9%

Value	Count	Frequency (%)
300	1	< 0.1%
288	1	< 0.1%
276	1	< 0.1%
264	5	< 0.1%
252	1	< 0.1%
240	19	< 0.1%
228	27	< 0.1%
216	47	< 0.1%
204	82	0.1%
192	140	0.1%

age_month_out
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.17343505

Minimum	0
Maximum	300
Zeros	185
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0.69
Q1	3
median	12
Q3	24
95-th percentile	108
Maximum	300
Range	300
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	34.57216546
Coefficient of variation (CV)	1.373359075
Kurtosis	5.609726356
Mean	25.17343505
Median Absolute Deviation (MAD)	11
Skewness	2.288366245
Sum	3124048.463
Variance	1195.234625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
12	22059	17.8%
24	18916	15.2%
2	14994	12.1%
36	7573	6.1%
3	5926	4.8%
1	5332	4.3%
48	4426	3.6%
60	4087	3.3%
4	4012	3.2%
5	3086	2.5%
Other values (38)	33690	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	185	0.1%
0.0329	264	0.2%
0.0657	347	0.3%
0.0986	354	0.3%
0.1314	235	0.2%
0.1643	158	0.1%
0.1972	237	0.2%
0.23	1510	1.2%
0.46	2029	1.6%
0.69	2123	1.7%

Value	Count	Frequency (%)
300	1	< 0.1%
288	1	< 0.1%
276	1	< 0.1%
264	5	< 0.1%
252	1	< 0.1%
240	19	< 0.1%
228	27	< 0.1%
216	49	< 0.1%
204	85	0.1%
192	140	0.1%

age_year_in
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.061460475

Minimum	0
Maximum	25
Zeros	754
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0.0384
Q1	0.1667
median	1
Q3	2
95-th percentile	9
Maximum	25
Range	25
Interquartile range (IQR)	1.8333

Descriptive statistics

Standard deviation	2.874569977
Coefficient of variation (CV)	1.39443371
Kurtosis	5.640721199
Mean	2.061460475
Median Absolute Deviation (MAD)	0.9232
Skewness	2.286394016
Sum	255829.3064
Variance	8.263152555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	21793	17.6%
2	19029	15.3%
0.0833	11910	9.6%
3	7448	6.0%
0.1667	6732	5.4%
4	4452	3.6%
0.0768	4414	3.6%
5	4061	3.3%
0.0576	3615	2.9%
0.25	3276	2.6%
Other values (38)	37371	30.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	754	0.6%
0.0027	635	0.5%
0.0055	478	0.4%
0.0082	578	0.5%
0.011	324	0.3%
0.0137	180	0.1%
0.0164	305	0.2%
0.0192	1910	1.5%
0.0384	2498	2.0%
0.0576	3615	2.9%

Value	Count	Frequency (%)
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	5	< 0.1%
21	1	< 0.1%
20	19	< 0.1%
19	27	< 0.1%
18	47	< 0.1%
17	82	0.1%
16	140	0.1%

age_year_out
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.09779371

Minimum	0
Maximum	25
Zeros	185
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0.0576
Q1	0.25
median	1
Q3	2
95-th percentile	9
Maximum	25
Range	25
Interquartile range (IQR)	1.75

Descriptive statistics

Standard deviation	2.881008618
Coefficient of variation (CV)	1.373351728
Kurtosis	5.609761023
Mean	2.09779371
Median Absolute Deviation (MAD)	0.9167
Skewness	2.288374537
Sum	260338.2972
Variance	8.300210655
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	22059	17.8%
2	18916	15.2%
0.1667	14994	12.1%
3	7573	6.1%
0.25	5926	4.8%
0.0833	5332	4.3%
4	4426	3.6%
5	4087	3.3%
0.3333	4012	3.2%
0.4167	3086	2.5%
Other values (38)	33690	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	185	0.1%
0.0027	264	0.2%
0.0055	347	0.3%
0.0082	354	0.3%
0.011	235	0.2%
0.0137	158	0.1%
0.0164	237	0.2%
0.0192	1510	1.2%
0.0384	2029	1.6%
0.0576	2123	1.7%

Value	Count	Frequency (%)
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	5	< 0.1%
21	1	< 0.1%
20	19	< 0.1%
19	27	< 0.1%
18	49	< 0.1%
17	85	0.1%
16	140	0.1%

datetime_in
Date

Distinct	87660
Distinct (%)	70.6%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Minimum	2013-10-01 07:51:00
Maximum	2021-03-03 17:13:00

Histogram

Histogram with fixed size bins (bins=50)

datetime_out
Date

Distinct	102583
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Minimum	2013-10-01 09:31:00
Maximum	2021-03-03 17:19:00

Histogram

Histogram with fixed size bins (bins=50)

outcome_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Adoption	55201
Transfer	36608
Return to Owner	21446
Euthanasia	8335
Died	1154
Other values (5)	1357

Length

Max length	15
Median length	8
Mean length	9.31169773
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Return to Owner
2nd row	Return to Owner
3rd row	Return to Owner
4th row	Transfer
5th row	Return to Owner

Common Values

Value	Count	Frequency (%)
Adoption	55201	44.5%
Transfer	36608	29.5%
Return to Owner	21446	17.3%
Euthanasia	8335	6.7%
Died	1154	0.9%
Rto-Adopt	691	0.6%
Disposal	561	0.5%
Missing	69	0.1%
Relocate	21	< 0.1%
Unknown	15	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
adoption	55201	33.1%
transfer	36608	21.9%
return	21446	12.8%
to	21446	12.8%
owner	21446	12.8%
euthanasia	8335	5.0%
died	1154	0.7%
rto-adopt	691	0.4%
disposal	561	0.3%
missing	69	< 0.1%
Other values (2)	36	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

outcome_subtype
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Unknown	66965
Partner	30721
Foster	10881
Rabies Risk	3654
Suffering	3225
Other values (19)	8655

Length

Max length	19
Median length	7
Mean length	6.948614435
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Partner
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	66965	54.0%
Partner	30721	24.8%
Foster	10881	8.8%
Rabies Risk	3654	2.9%
Suffering	3225	2.6%
SCRP	3208	2.6%
Snr	2667	2.1%
In Kennel	595	0.5%
Aggressive	538	0.4%
Offsite	383	0.3%
Other values (14)	1264	1.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	66965	51.9%
partner	30721	23.8%
foster	11176	8.7%
rabies	3654	2.8%
risk	3654	2.8%
suffering	3225	2.5%
scrp	3208	2.5%
snr	2667	2.1%
in	912	0.7%
kennel	595	0.5%
Other values (18)	2168	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

days_in_shelter
Real number (ℝ_≥0)

Distinct	25942
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	114.3328378

Minimum	0
Maximum	2654.11
Zeros	11
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	3.88
Q1	12.03
median	17.97
Q3	45.97
95-th percentile	690.02
Maximum	2654.11
Range	2654.11
Interquartile range (IQR)	33.94

Descriptive statistics

Standard deviation	286.0113022
Coefficient of variation (CV)	2.501567422
Kurtosis	18.61655153
Mean	114.3328378
Median Absolute Deviation (MAD)	8.11
Skewness	4.064489454
Sum	14188819.5
Variance	81802.46497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.95	139	0.1%
13.99	139	0.1%
15.85	133	0.1%
15.9	132	0.1%
14.96	130	0.1%
14.92	130	0.1%
13.95	130	0.1%
13.96	128	0.1%
15.95	127	0.1%
14.95	126	0.1%
Other values (25932)	122787	98.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11	< 0.1%
0.01	37	< 0.1%
0.02	30	< 0.1%
0.03	27	< 0.1%
0.04	23	< 0.1%
0.05	29	< 0.1%
0.06	36	< 0.1%
0.07	30	< 0.1%
0.08	37	< 0.1%
0.09	33	< 0.1%

Value	Count	Frequency (%)
2654.11	1	< 0.1%
2650.98	1	< 0.1%
2613.08	1	< 0.1%
2596.77	1	< 0.1%
2592	1	< 0.1%
2589.07	1	< 0.1%
2559.77	1	< 0.1%
2547.83	1	< 0.1%
2543.09	1	< 0.1%
2541.01	1	< 0.1%

found_location
Categorical

HIGH CARDINALITY

Distinct	53703
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Austin (TX)	22851
Travis (TX)	1995
Outside Jurisdiction	1529
7201 Levander Loop in Austin (TX)	811
Manor (TX)	620
Other values (53698)	96295

Length

Max length	85
Median length	31
Mean length	29.0579528
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39007 ?
Unique (%)	31.4%

Sample

1st row	8700 Research in Austin (TX)
2nd row	8700 Research Blvd in Austin (TX)
3rd row	Colony Creek And Hunters Trace in Austin (TX)
4th row	Austin (TX)
5th row	12034 Research Blvd in Austin (TX)

Common Values

Value	Count	Frequency (%)
Austin (TX)	22851	18.4%
Travis (TX)	1995	1.6%
Outside Jurisdiction	1529	1.2%
7201 Levander Loop in Austin (TX)	811	0.7%
Manor (TX)	620	0.5%
Pflugerville (TX)	608	0.5%
Del Valle (TX)	526	0.4%
4434 Frontier Trl in Austin (TX)	208	0.2%
124 W Anderson Ln in Austin (TX)	192	0.2%
4434 Frontier Trail in Austin (TX)	158	0.1%
Other values (53693)	94603	76.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	122667	17.8%
austin	103184	15.0%
in	95339	13.9%
and	14760	2.1%
dr	11637	1.7%
travis	10973	1.6%
drive	8391	1.2%
rd	7651	1.1%
ln	6320	0.9%
st	6144	0.9%
Other values (16205)	301298	43.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	animal_id	name	animal_type	breed	color	sex	intake_type	intake_condition	neutered_intake	neutered_outcome	age_month_in	age_month_out	age_year_in	age_year_out	datetime_in	datetime_out	outcome_type	outcome_subtype	days_in_shelter	found_location
0	A006100	Scamp	Dog	Spinone Italiano Mix	Yellow/White	Male	Public Assist	Normal	yes	yes	72.0	72.0	6.0	6.0	2014-03-07 14:26:00	2014-03-08 17:10:00	Return to Owner	Unknown	1.11	8700 Research in Austin (TX)
1	A006100	Scamp	Dog	Spinone Italiano Mix	Yellow/White	Male	Public Assist	Normal	yes	yes	84.0	84.0	7.0	7.0	2014-12-19 10:21:00	2014-12-20 16:35:00	Return to Owner	Unknown	1.26	8700 Research Blvd in Austin (TX)
2	A006100	Scamp	Dog	Spinone Italiano Mix	Yellow/White	Male	Stray	Normal	yes	yes	120.0	120.0	10.0	10.0	2017-12-07 14:07:00	2017-12-07 00:00:00	Return to Owner	Unknown	0.59	Colony Creek And Hunters Trace in Austin (TX)
3	A047759	Oreo	Dog	Dachshund	Tricolor	Male	Owner Surrender	Normal	yes	yes	120.0	120.0	10.0	10.0	2014-04-02 15:55:00	2014-04-07 15:12:00	Transfer	Partner	4.97	Austin (TX)
4	A134067	Bandit	Dog	Shetland Sheepdog	Brown/White	Male	Public Assist	Injured	yes	yes	192.0	192.0	16.0	16.0	2013-11-16 09:02:00	2013-11-16 11:54:00	Return to Owner	Unknown	0.12	12034 Research Blvd in Austin (TX)
5	A141142	Bettie	Dog	Labrador Retriever/Pit Bull	Black/White	Female	Stray	Aged	yes	yes	180.0	180.0	15.0	15.0	2013-11-16 14:46:00	2013-11-17 11:40:00	Return to Owner	Unknown	0.87	Austin (TX)
6	A163459	Sasha	Dog	Miniature Schnauzer Mix	Black/Gray	Female	Stray	Normal	no	no	180.0	180.0	15.0	15.0	2014-11-14 15:11:00	2014-11-14 19:28:00	Return to Owner	Unknown	0.18	Ih 35 And 41St St in Austin (TX)
7	A165752	Pep	Dog	Lhasa Apso Mix	Brown/White	Male	Stray	Normal	yes	yes	180.0	180.0	15.0	15.0	2014-09-15 11:28:00	2014-09-15 16:35:00	Return to Owner	Unknown	0.21	Gatlin Gun Rd And Brodie in Austin (TX)
8	A169438	Unknown	Bird	Dove Mix	Gray/White	Unknown	Stray	Normal	Unknown	Unknown	216.0	216.0	18.0	18.0	2018-04-04 20:37:00	2018-04-04 20:47:00	Relocate	Unknown	0.01	Dessau in Austin (TX)
9	A178569	Boti	Dog	Shetland Sheepdog Mix	White/Black	Male	Public Assist	Normal	yes	yes	180.0	180.0	15.0	15.0	2014-03-17 09:45:00	2014-03-23 15:57:00	Return to Owner	Unknown	6.26	Austin (TX)

Last rows

	animal_id	name	animal_type	breed	color	sex	intake_type	intake_condition	neutered_intake	neutered_outcome	age_month_in	age_month_out	age_year_in	age_year_out	datetime_in	datetime_out	outcome_type	outcome_subtype	days_in_shelter	found_location
124091	A830166	Chiquita	Dog	Labrador Retriever Mix	Tan/White	Male	Stray	Normal	no	yes	12.0	8.0	1.0000	0.6667	2021-03-03 14:44:00	2021-01-27 11:18:00	Adoption	Unknown	35.14	904 W Riverside in Austin (TX)
124092	A830169	Unknown	Dog	Pit Bull	Black/White	Female	Stray	Normal	no	yes	24.0	8.0	2.0000	0.6667	2021-03-03 15:19:00	2021-01-28 17:05:00	Adoption	Unknown	33.93	9025 Williamson Rd in Travis (TX)
124093	A830170	Unknown	Dog	Pit Bull	Black/White	Male	Stray	Normal	no	no	72.0	3.0	6.0000	0.2500	2021-03-03 15:19:00	2021-01-25 16:00:00	Transfer	Partner	36.97	9025 Williamson Rd in Travis (TX)
124094	A830171	Unknown	Dog	Plott Hound Mix	Brown Brindle/White	Female	Stray	Normal	no	yes	12.0	24.0	1.0000	2.0000	2021-03-03 17:13:00	2021-02-06 14:30:00	Adoption	Unknown	25.11	1310 West Howard Lane in Austin (TX)
124095	A830172	Sully	Dog	Rottweiler/Great Dane	Black/Tan	Male	Owner Surrender	Normal	no	yes	24.0	2.0	2.0000	0.1667	2021-03-03 16:50:00	2021-01-25 18:25:00	Adoption	Unknown	36.93	Austin (TX)
124096	A830173	Unknown	Dog	Cairn Terrier	Brown	Male	Stray	Normal	no	no	12.0	3.0	1.0000	0.2500	2021-03-03 15:59:00	2021-02-11 11:43:00	Transfer	Partner	20.18	14912 Fagerquist Rd in Travis (TX)
124097	A830174	Unknown	Dog	Black Mouth Cur	Brown/Black	Female	Stray	Normal	no	yes	1.0	12.0	0.0833	1.0000	2021-03-03 15:59:00	2021-01-26 11:21:00	Transfer	Partner	36.19	14912 Fagerquist Rd in Travis (TX)
124098	A830180	Gigi	Dog	Australian Cattle Dog/Belgian Malinois	Brown Brindle/White	Female	Owner Surrender	Normal	no	yes	108.0	84.0	9.0000	7.0000	2021-03-03 16:31:00	2021-01-27 14:24:00	Return to Owner	Unknown	35.09	Austin (TX)
124099	A830181	Nona	Cat	Domestic Shorthair Mix	White/Black	Female	Owner Surrender	Normal	yes	yes	48.0	36.0	4.0000	3.0000	2021-03-03 16:31:00	2021-01-25 13:19:00	Transfer	Snr	37.13	Austin (TX)
124100	A830183	Unknown	Dog	Chihuahua Shorthair	White	Female	Stray	Medical	no	Unknown	1.0	7.0	0.0833	0.5833	2021-03-03 17:12:00	2021-01-30 16:35:00	Adoption	Foster	32.03	6802 Bryonwood Drive in Austin (TX)

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length